Data Model Implementation of Weapon Live Test Support Asset based on DoDAF Meta Model

In order to safely and effectively conduct weapon live tests in an environment with limited human resources, it is essential to utilize a decision support system to enable quick and accurate decision-making at key stages. The role of the decision support system is to provide situational awareness information and key decision-making elements based on data acquired from test support assets, and an architecture design methodology for system implementation was proposed through prior research. In order to share heterogeneous data between multiple support assets and decision support system, research on the application of standardized data models was required. This paper proposes a method of applying the DM2(DoDAF 2.0 Meta Model) developed in the U.S. DoD considering easy connectivity between models and compatibility with future weapon system model. A case study is illustrated the feasibility of the proposed method through data modeling in ATLAS(Ammunition Transport and Loading Autonomy System), one of the support assets operated during ammunition firing test.